Tyler Sypherd

activity

20192022

most cited

α

-GAN: Convergence and Estimation Guarantees

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 1 cited

$α$ -GAN: Convergence and Estimation Guarantees

Gowtham R. Kurri, Monica Welfert, Tyler Sypherd +1

We prove a two-way correspondence between the min-max optimization of general CPE loss function GANs and the minimization of associated $f$ -divergences. We then focus on $α$ -GAN, d…

cs.LG2021

Realizing GANs via a Tunable Loss Function

Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar

We introduce a tunable GAN, called $α$ -GAN, parameterized by $α \in (0, \infty]$ , which interpolates between various $f$ -GANs and Integral Probability Metric based GANs (under constr…

cs.LG2019

A Tunable Loss Function for Binary Classification

Tyler Sypherd, Mario Diaz, Lalitha Sankar +1

We present $α$ -loss, $α \in [1, \infty]$ , a tunable loss function for binary classification that bridges log-loss ( $α = 1$ ) and $0$ - $1$ loss ( $α = \infty$ ). We prove that $α$ -loss has a…

α-GAN: Convergence and Estimation Guarantees

Realizing GANs via a Tunable Loss Function

A Tunable Loss Function for Binary Classification

$α$ -GAN: Convergence and Estimation Guarantees